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» Situation Recognition: Representation and Algorithms
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SIGIR
2002
ACM
13 years 8 months ago
Probabilistic combination of text classifiers using reliability indicators: models and results
The intuition that different text classifiers behave in qualitatively different ways has long motivated attempts to build a better metaclassifier via some combination of classifie...
Paul N. Bennett, Susan T. Dumais, Eric Horvitz
JMLR
2010
110views more  JMLR 2010»
13 years 3 months ago
Attribute Selection Based on FRiS-Compactness
Commonly to classify new object in Data Mining one should estimate its similarity with given classes. Function of Rival Similarity (FRiS) is assigned to calculate quantitative mea...
Nikolay G. Zagoruiko, Irina V. Borisova, Vladimir ...
JACM
2011
152views more  JACM 2011»
12 years 11 months ago
Robust principal component analysis?
This paper is about a curious phenomenon. Suppose we have a data matrix, which is the superposition of a low-rank component and a sparse component. Can we recover each component i...
Emmanuel J. Candès, Xiaodong Li, Yi Ma, Joh...
FPCA
1995
14 years 6 days ago
Pi-Calculus, Dialogue Games and PCF
Game semantics is an unusual denotational semantics in that it captures the intensional (or algorithmic) and dynamical aspects of the computation. This makes it an ideal semantica...
J. M. E. Hyland, C.-H. Luke Ong
MM
2004
ACM
248views Multimedia» more  MM 2004»
14 years 2 months ago
Incremental semi-supervised subspace learning for image retrieval
Subspace learning techniques are widespread in pattern recognition research. They include Principal Component Analysis (PCA), Locality Preserving Projection (LPP), etc. These tech...
Xiaofei He